Resolving estimation uncertainties of chemical shift encoded fat-water imaging using magnetization transfer effect

Magn Reson Med. 2019 Jul;82(1):202-212. doi: 10.1002/mrm.27709. Epub 2019 Mar 7.

Abstract

Purpose: B0 field inhomogeneity may cause significant errors in chemical shift encoding-based fat-water (F/W) separation. We describe a new approach to improve its robustness using novel B0 field map pre-estimation.

Methods: Our method exploits insensitivity of fat to magnetization transfer effect, which allows generating fat-insensitive B0 field priors with full or partial spatial support using a low-resolution magnetization transfer-weighted scan. The full prior can be employed by most F/W separation methods for initialization or data demodulation. We also propose a modified region-growing algorithm in which the partial prior is utilized for its initial seeding.

Results: The magnetization transfer-based B0 priors significantly reduced F/W errors of three representative F/W separation methods in all cases. In cases with moderate B0 inhomogeneity, the full prior allowed error-free separation even with basic, voxel-independent processing. When coupled with methods exploiting B0 field smoothness, it significantly improved separation accuracy even in the presence of strong inhomogeneities. Seeding the region-growing with the partial prior significantly improved performance of F/W separation, including cases with spatially disconnected tissues.

Conclusion: Magnetization transfer-based B0 field pre-estimation provides valuable prior information for F/W separation, which may significantly improve its robustness at the expense of nominal (< 5%-10%) scan time increase.

Keywords: Chemical shift imaging; Dixon fat-water separation; IDEAL; magnetization transfer.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adipose Tissue / diagnostic imaging*
  • Algorithms
  • Ankle / diagnostic imaging
  • Brain / diagnostic imaging
  • Humans
  • Magnetic Resonance Imaging / methods*
  • Phantoms, Imaging
  • Signal Processing, Computer-Assisted
  • Water / chemistry*

Substances

  • Water